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公开(公告)号：US09086793B2
公开(公告)日：2015-07-21
申请号：US13524603
申请日：2012-06-15
申请人： Jeffrey L. Siegel , Charles H. Quandel , W. Robert Moore , Douglas Wayne Morrison , Glen Arthur Herman , Robert J. Marros , Michael Richard Ostrom
发明人： Jeffrey L. Siegel , Charles H. Quandel , W. Robert Moore , Douglas Wayne Morrison , Glen Arthur Herman , Robert J. Marros , Michael Richard Ostrom
IPC分类号： G06F3/0485 , G06Q10/06 , G06Q30/02 , G06Q40/08
CPC分类号： G06F3/04855 , G06F3/0485 , G06Q10/0635 , G06Q30/0203 , G06Q30/0204 , G06Q40/08
摘要： A user interface facilitates assessing security risks for linear corridors. The interface includes a navigation window presenting geospatial data for an area associated with a corridor. The interface also includes a navigation tool having a corridor indicator that provides a diagrammatic linear representation of the linear corridor, indicia along the corridor indicator that represent critical assets, and a corridor window superimposed on the corridor indicator that slides linearly along the corridor indicator. The portion of the corridor displayed in the interface corresponds to a location of the corridor window on the corridor indicator. The interface also includes an attributes area presenting information associated with the area presented in the navigation window. At least one of the navigation window and the attributes area is configured to present risk assessment information associated with the linear corridor.
摘要翻译： 用户界面有助于评估线性走廊的安全风险。 该界面包括一个导航窗口，显示与走廊相关联的区域的地理空间数据。 该界面还包括具有走廊指示器的导航工具，其提供线性走廊的图示线性表示，沿着代表关键资产的走廊指示器的标记，以及叠加在沿着走廊指示器线性滑动的走廊指示器上的走廊窗口。 界面中显示的走廊部分对应于走廊指示器上走廊窗口的位置。 接口还包括呈现与导航窗口中呈现的区域相关联的信息的属性区域。 导航窗口和属性区域中的至少一个被配置为呈现与线性走廊相关联的风险评估信息。
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公开(公告)号：US08255262B2
公开(公告)日：2012-08-28
申请号：US11336499
申请日：2006-01-20
申请人： Jeffrey L. Siegel , Charles H. Quandel , W. Robert Moore , Douglas Wayne Morrison , Glen Arthur Herman , Robert J. Marros , Michael Richard Ostrom
发明人： Jeffrey L. Siegel , Charles H. Quandel , W. Robert Moore , Douglas Wayne Morrison , Glen Arthur Herman , Robert J. Marros , Michael Richard Ostrom
IPC分类号： G06Q10/00
CPC分类号： G06F3/04855 , G06F3/0485 , G06Q10/0635 , G06Q30/0203 , G06Q30/0204 , G06Q40/08
摘要： The assessment of security risks associated with linear corridors, such as transportation corridors and utilities corridors, is provided. Initially, a site is selected for evaluation. Survey data and context sensitive information, such as demographic information, environmental information, corridor asset information, and the like, is collected for the site. Linear corridors are identified within the data, and critical assets within each linear corridor are also identified. Security risks associated with linear corridors may then be assessed using the survey data and context sensitive information. In addition, mitigation strategies, response strategies, and recovery strategies may be developed for the security risks assessed for the linear corridors.
摘要翻译： 提供了与线路走廊相关的安全风险评估，如交通走廊和公用设施走廊。 最初，选择一个网站进行评估。 为站点收集调查数据和上下文相关信息，如人口信息，环境信息，走廊资产信息等。 在数据中确定线性走廊，并确定每个线性走廊内的关键资产。 然后可以使用调查数据和上下文相关信息来评估与线性走廊相关的安全隐患。 此外，可以为线性走廊评估的安全风险制定缓解策略，应对策略和恢复策略。
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公开(公告)号：US20120035839A1
公开(公告)日：2012-02-09
申请号：US13271958
申请日：2011-10-12
申请人： Tommy Allen Stehle , Christopher James Simon , Terrence Matthew Palloto , Michael Richard Ostrom
发明人： Tommy Allen Stehle , Christopher James Simon , Terrence Matthew Palloto , Michael Richard Ostrom
CPC分类号： G08G1/00 , G06Q10/04 , G06Q30/0207 , G06Q30/0215
摘要： Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of anticipated traffic routes, demographic data and/or other types of socioeconomic data. This data can source a prediction algorithm or be used to forecast traffic patterns. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).
摘要翻译： 描述了旅行需求预测方法，用于至少部分地基于预期的交通路线，人口统计数据和/或其他类型的社会经济数据的形式的用户输入的数据来预测交通量。 该数据可以提供预测算法或用于预测流量模式。 描述了方法和系统，用于尤其优化交通预测，使用用户分配的行程模式来预测交通模式，将富属性信息与导航路线相关联，将个人物流信息暴露给群体，传达基于交通状况的警报 用户信息，优化用户定义的交通路线的呈现，以及基于邻近度（时间或地理）呈现位置指示。
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公开(公告)号：US08494991B2
公开(公告)日：2013-07-23
申请号：US13271958
申请日：2011-10-12
申请人： Tommy Allen Stehle , Terrence Matthew Pallotto , Michael Richard Ostrom , Christopher James Simon
发明人： Tommy Allen Stehle , Terrence Matthew Pallotto , Michael Richard Ostrom , Christopher James Simon
IPC分类号： G06F15/18
CPC分类号： G08G1/00 , G06Q10/04 , G06Q30/0207 , G06Q30/0215
摘要： Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of anticipated traffic routes, demographic data and/or other types of socioeconomic data. This data can source a prediction algorithm or be used to forecast traffic patterns. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).
摘要翻译： 描述了旅行需求预测方法，用于至少部分地基于预期的交通路线，人口统计数据和/或其他类型的社会经济数据的形式的用户输入的数据来预测交通量。 该数据可以提供预测算法或用于预测流量模式。 描述了方法和系统，用于尤其优化交通预测，使用用户分配的行程模式来预测交通模式，将富属性信息与导航路线相关联，将个人物流信息暴露给群体，传达基于交通状况的警报 用户信息，优化用户定义的交通路线的呈现，以及基于邻近度（时间或地理）呈现位置指示。
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公开(公告)号：US08041660B2
公开(公告)日：2011-10-18
申请号：US12914778
申请日：2010-10-28
申请人： Tommy Allen Stehle , Terrence Matthew Pallotto , Michael Richard Ostrom , Christopher James Simon
发明人： Tommy Allen Stehle , Terrence Matthew Pallotto , Michael Richard Ostrom , Christopher James Simon
IPC分类号： G06F15/18
CPC分类号： G08G1/00 , G06Q10/04 , G06Q30/0207 , G06Q30/0215
摘要： Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of origin/destination data pairs, user preferences, demographic data and other types of socioeconomic data. This data can source a prediction algorithm or be used to calibrate or more make accurate a current algorithm. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).
摘要翻译： 描述了旅行需求预测方法，用于至少部分地基于来自/目的地数据对，用户偏好，人口统计数据和其他类型的社会经济数据的形式的用户输入的数据来预测话务量。 该数据可以提供预测算法或用于校准或更准确地获得当前算法。 描述了方法和系统，用于尤其优化交通预测，使用用户分配的行程模式来预测交通模式，将富属性信息与导航路线相关联，将个人物流信息暴露给群体，传达基于交通状况的警报 用户信息，优化用户定义的交通路线的呈现，以及基于邻近度（时间或地理）呈现位置指示。
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公开(公告)号：US20110106592A1
公开(公告)日：2011-05-05
申请号：US12914778
申请日：2010-10-28
申请人： Tommy Allen Stehle , Christopher James Simon , Terrence Matthew Pallotto , Michael Richard Ostrom
发明人： Tommy Allen Stehle , Christopher James Simon , Terrence Matthew Pallotto , Michael Richard Ostrom
CPC分类号： G08G1/00 , G06Q10/04 , G06Q30/0207 , G06Q30/0215
摘要： Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of origin/destination data pairs, user preferences, demographic data and other types of socioeconomic data. This data can source a prediction algorithm or be used to calibrate or more make accurate a current algorithm. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).
摘要翻译： 描述了旅行需求预测方法，用于至少部分地基于来自/目的地数据对，用户偏好，人口统计数据和其他类型的社会经济数据的形式的用户输入的数据来预测话务量。 该数据可以提供预测算法或用于校准或更准确地获得当前算法。 描述了方法和系统，用于尤其优化交通预测，使用用户分配的行程模式来预测交通模式，将富属性信息与导航路线相关联，将个人物流信息暴露给群体，传达基于交通状况的警报 用户信息，优化用户定义的交通路线的呈现，以及基于邻近度（时间或地理）呈现位置指示。
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公开(公告)号：US07849031B2
公开(公告)日：2010-12-07
申请号：US11766607
申请日：2007-06-21
申请人： Tommy Allen Stehle , Christopher James Simon , Terrence Matthew Palloto , Michael Richard Ostrom
发明人： Tommy Allen Stehle , Christopher James Simon , Terrence Matthew Palloto , Michael Richard Ostrom
CPC分类号： G08G1/00 , G06Q10/04 , G06Q30/0207 , G06Q30/0215
摘要： Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of origin/destination data pairs, user preferences, demographic data and other types of socioeconomic data. This data can source a prediction algorithm or be used to calibrate or more make accurate a current algorithm. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).
摘要翻译： 描述了旅行需求预测方法，用于至少部分地基于来自/目的地数据对，用户偏好，人口统计数据和其他类型的社会经济数据的形式的用户输入的数据来预测话务量。 该数据可以提供预测算法或用于校准或更准确地获得当前算法。 描述了方法和系统，用于尤其优化交通预测，使用用户分配的行程模式来预测交通模式，将富属性信息与导航路线相关联，将个人物流信息暴露给群体，传达基于交通状况的警报 用户信息，优化用户定义的交通路线的呈现，以及基于邻近度（时间或地理）呈现位置指示。
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